通信学报 ›› 2014, Vol. 35 ›› Issue (8): 8-14.doi: 10.3969/j.issn.1000-436x.2014.08.002

• 学术论文 • 上一篇    下一篇

基于轮廓和链码表示的高效形状编码

朱仲杰1,王玉儿1,蒋刚毅2   

  1. 1 浙江万里学院 宁波市DSP重点实验室,浙江 宁波 315100
    2 宁波大学 电路与系统研究所,浙江 宁波 315211
  • 出版日期:2014-08-25 发布日期:2017-06-29
  • 基金资助:
    国家自然科学基金资助项目;国家自然科学基金资助项目;国家自然科学基金资助项目;浙江省自然科学基金资助项目;人社部留学人员科技活动择优基金资助项目;宁波市自然科学基金资助项目

High efficient shape coding based on the representation of contour and chain code

Zhong-jie ZHU1,Yu-e WANG1,Gang-yi JIANG2   

  1. 1 Ningbo Key Lab. of DSP, Zhejiang Wanli University, Ningbo 315100, China
    2 Institute of Technology, Ningbo University, Ningbo 315211, China
  • Online:2014-08-25 Published:2017-06-29
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Natural Science Foundation of China;The Natural Science Foundation of Zhejiang Province;Technology Foundation for Selected Overseas Chinese Scholar, MOHRSS of China;The Natural Science Foundation of Ningbo

摘要:

提出一种基于轮廓和链码表示的高效无损形状编码方法。首先提取对象轮廓并细化成单像素宽度;然后将其转换成链码表示并基于方向相关性分割成若干子段,使每个子段最多包含2个基本方向码,同时结合线性检测,分离出对象轮廓中的长线性子段;最后对线性子段和非线性子段结合链码的空域相关性进行差异化编码以获得最佳编码性能。实验结果显示,所提算法的性能优于现有的常用方法,与最新的同类方法相比能平均提高压缩效率36.5%左右。

关键词: 视觉对象, 形状编码, 无损编码, 链码

Abstract:

A high efficient lossless shape coding scheme was proposed based on the representation of contour and chain code. The object contours are firstly extracted and thinned to be single-pixel width. Then the object contours are trans-formed into chain-code-based representation and divided into different sub-segments based on link directions to make each sub-segment consist of up to two types of links. Thirdly, straightness detection is performed and long straight-line segments within contours are separated. Finally, different schemes are proposed to encode the straight-line sub-segments and ordinary curve sub-segments by employing the spatial correlations among contours aiming to acquire high coding performance. Experiments are conducted and the results show that the proposed scheme outperforms the existing tech-niques and can improve the compression efficiency by 36.5% on average compared with the state-of-the-art method.

Key words: visual objects, shape coding, lossless coding, chain code

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